Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses

Cooperative vehicle platoon control has great potential in relieving traffic congestion, improving driving safety and fuel economy, which is closely related to the progress of communication technology, especially the development of vehicle-to-vehicle communication technology. However, in the real sc...

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Main Authors: TAN Yan, HU Yunqing, YUAN Xiwen, BIAN Yougang, QIN Zhaobo, XU Biao, HU Manjiang
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2022-12-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.100
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author TAN Yan
HU Yunqing
YUAN Xiwen
BIAN Yougang
QIN Zhaobo
XU Biao
HU Manjiang
author_facet TAN Yan
HU Yunqing
YUAN Xiwen
BIAN Yougang
QIN Zhaobo
XU Biao
HU Manjiang
author_sort TAN Yan
collection DOAJ
description Cooperative vehicle platoon control has great potential in relieving traffic congestion, improving driving safety and fuel economy, which is closely related to the progress of communication technology, especially the development of vehicle-to-vehicle communication technology. However, in the real scene, vehicle-to-vehicle communication is not ideal, and there are communication packets losses, delay and other phenomena, which affect the stability and tracking performance of the vehicle queue. For this reason, this paper studies the distributed cooperative control method of vehicle platoon in case of communication packets losses, and constructs a vehicle platoon system model considering Bernoulli packet loss model, then designs a distributed controller suitable for communication topology based on directed spanning tree with the leading vehicle as the root node. The relationship between packet loss probability and vehicle platoon stability is analyzed subsequently. Finally, we derives a sufficient condition to ensure the asymptotic stability of platoon, i.e., the inequality of the weight coefficient matrix of the cost function. The numerical simulation results show that when the designed vehicle platoon system model and distributed controller are used, and the weight coefficient matrix of the cost function satisfies the inequality conditions, if the probability of packet loss increases, the convergence time of the queuing tracking error will be prolonged, and the tracking error will increase. This verifies the negative correlation effect of packet loss probability on the stability and tracking performance of the designed distributed controller.
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institution Kabale University
issn 2096-5427
language zho
publishDate 2022-12-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-78e7f7539f00499da93dca0f2a846ced2025-08-25T06:47:54ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272022-12-01424932481945Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets LossesTAN YanHU YunqingYUAN XiwenBIAN YougangQIN ZhaoboXU BiaoHU ManjiangCooperative vehicle platoon control has great potential in relieving traffic congestion, improving driving safety and fuel economy, which is closely related to the progress of communication technology, especially the development of vehicle-to-vehicle communication technology. However, in the real scene, vehicle-to-vehicle communication is not ideal, and there are communication packets losses, delay and other phenomena, which affect the stability and tracking performance of the vehicle queue. For this reason, this paper studies the distributed cooperative control method of vehicle platoon in case of communication packets losses, and constructs a vehicle platoon system model considering Bernoulli packet loss model, then designs a distributed controller suitable for communication topology based on directed spanning tree with the leading vehicle as the root node. The relationship between packet loss probability and vehicle platoon stability is analyzed subsequently. Finally, we derives a sufficient condition to ensure the asymptotic stability of platoon, i.e., the inequality of the weight coefficient matrix of the cost function. The numerical simulation results show that when the designed vehicle platoon system model and distributed controller are used, and the weight coefficient matrix of the cost function satisfies the inequality conditions, if the probability of packet loss increases, the convergence time of the queuing tracking error will be prolonged, and the tracking error will increase. This verifies the negative correlation effect of packet loss probability on the stability and tracking performance of the designed distributed controller.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.100automatic driving vehiclevehicle platoondistributed cooperative controlcommunication packets lossesstability analysis
spellingShingle TAN Yan
HU Yunqing
YUAN Xiwen
BIAN Yougang
QIN Zhaobo
XU Biao
HU Manjiang
Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
Kongzhi Yu Xinxi Jishu
automatic driving vehicle
vehicle platoon
distributed cooperative control
communication packets losses
stability analysis
title Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
title_full Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
title_fullStr Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
title_full_unstemmed Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
title_short Distributed Cooperative Control of Multiple Vehicles Considering Communication Packets Losses
title_sort distributed cooperative control of multiple vehicles considering communication packets losses
topic automatic driving vehicle
vehicle platoon
distributed cooperative control
communication packets losses
stability analysis
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.100
work_keys_str_mv AT tanyan distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT huyunqing distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT yuanxiwen distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT bianyougang distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT qinzhaobo distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT xubiao distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses
AT humanjiang distributedcooperativecontrolofmultiplevehiclesconsideringcommunicationpacketslosses